Remodeling Base Model Using Building Energy Simulation Results and Bill Data

Su-Hyun Lim; Sung-Jung Park

doi:10.22696/jkiaebs.20220036

All Issue

2022 Vol.16, Issue 5 Preview Page

Research Article

Remodeling Base Model Using Building Energy Simulation Results and Bill Data 건물 에너지 시뮬레이션 및 요금 데이터를 활용한 리모델링 베이스모델 설정

30 October 2022. pp. 422-432

PDF XML

Abstract

This study reviewed the possibility of setting a remodeling base model through the review of the error between the building energy simulation and the energy consumption of actual building. Through monthly method simulation, final energy was calculated for one public building and one house, and baseload energy was calculated using bill data. By comparing the sum of the simulation results and the baseload energy with the monthly energy consumption, it was confirmed whether the error range suggested by the M&V guidelines was satisfied. This study tried to cost-effectively secure usable data as a remodeling base model. Through the analysis cases in this study, it was confirmed that the base model before remodeling can be estimated only with the monthly method simulation results and monthly bill data.

Keywords

Remodeling base model

Monthly method simulation

Baseload energy

Bill data

키워드

리모델링 베이스모델

월간법 시뮬레이션

기저 에너지

요금 데이터

References

Kim, D.W., Shin, H.R., Lee, S.E. (2019). Validation of an energy end-use disaggregation method for office buildings based on monthly variation. Proceedings of the 2019 Spring Conference of the Korean Institute of Architecture, 39(1), 296.

Kong, D.S., Kim, D.H., Jang, Y.S., Huh, J.H. (2014). Existing Building Energy Simulation Method Using Calibrated Model by Energy Audit Data. Korean Journal of Air-Conditioning and Refrigeration Engineering, 26(5), 231-239. 10.6110/KJACR.2014.26.5.231

Suh, W.J., Park, C.S. (2012). Issues and Limitations on the Use of a Whole Building Simulation Tool for Energy Diagnosis of a Real-life Building. Journal of the Architectural Institute of Korea, 28(1), 273-283.

Yoon, Y.R., Lee, M.H., Moon, H.J. (2018). Comparison of Building Energy Prediction Models based on Machine Learning Algorithms for Hourly M&V Baseline. Journal of Korean Living Environment System, 25(5), 595-602. 10.21086/ksles.2018.10.25.5.595

Cho, J.G., Park, B.Y. (2019). A Study of Dedicated Energy Baseline, Performance Options on Measurement and Verifiaction (M&V) for Data Center Energy Saving. 10.6110/KJACR.2019.31.12.576

Efficiency Valuation Organization (EVO). (2001). International Performance Measurement and Verification Protocol (IPMVP), Public Library of Documents.

Kaplan, M., Canner, P. (1992). Guidelines for energy simulation of commercial buildings, Portland: Bonneville Power Administration. 10.2172/5291948

U.S. Department of Energy Federal Energy Management Program (FEMP). (2008). M&V Guidelines: Measurement and verification for federal energy projects Version 3.0.

ASHRAE. (2002). ASHRAE Guideline 14-2002 for measurement of energy and demand savings, ASHRAE, Atlanta.

DIN V 18599. (2018). Energy Efficiency of Buildings - Calculation of the Net, Final and Primary Energy Demand for Heating, Cooling, Ventilation, Domestic Hot Water and Lighting.

Information

Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
Publisher(Ko) :한국건축친환경설비학회
Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
Journal Title(Ko) :한국건축친환경설비학회논문집
Volume : 16
No :5
Pages :422-432
Received Date : 2022-10-07
Revised Date : 2022-10-19
Accepted Date : 2022-10-28
DOI :https://doi.org/10.22696/jkiaebs.20220036

Journal of Korean Institute of Architectural Sustainable Environment and Building Systems ISSN:1976-6483(Print) 2586-0666(Online) 한국건축친환경설비학회논문집

All Issue